40 telecommunications-and-signal-processing Fellowship positions at Monash University in Australia
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& Molecular Biology, the largest within the School of Biomedical Sciences at Monash University, is a national leader in its field. With a research and teaching focus spanning cell biology, signal transduction
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Research Fellow, Implementation Science in Addition Treatment Job No.: 683764 Location: Turning Point, 110 Church Street, Richmond Employment Type: Full-time Duration: 12-month fixed-term
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translational clinical research. The successful candidate will be responsible for the design, development, and characterisation of a diagnostic electrochemical biosensor, incorporating signal processing and
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indicate whether you are applying at Level A or B, depending on your experience and qualifications. Please note we will be reviewing applications as they are received. Diversity is one of our greatest
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neurocritical care research The Opportunity We are seeking a Research Fellow - Data Science professional with strong expertise in machine learning, deep learning and high-frequency physiological signal analysis
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research partners Proficiency in DAMASK, AMITEX, Abaqus & MOOSE Experience with MTEX & DREAM3D (advantageous) Application of machine learning (e.g. Gaussian Process) for surrogate modelling & uncertainty
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recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr-recruitment@monash.edu in an email titled 'Reasonable Adjustments Request' for a confidential discussion. Your
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people of all genders, sexualities, and age groups. We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr
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Fellow to join the ARC Research Hub for Value-Added Processing of Underutilised Carbon Waste. This role will contribute to the project “Building social and policy support for upcycling and the circular
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in sequential decision-making approaches such as Markov Decision Processes, reinforcement learning, deep learning, or adaptive management. You have a strong track record of research publications and